Full Stack Engineer (AI)

Our client is a technology services partner delivering software for Singapore government agencies. They are building an internal platform that brings cybersecurity assessment tooling, AI workflows and reporting into a single dashboard. This is a hands-on build role — you’ll ship across the full stack and work directly with frontier AI models.

What You’ll Do

• Build and maintain the platform backend, APIs, dashboard and reporting modules
• Design AI workflows on top of frontier models — retrieval-augmented generation, agentic workflows, and integrating model output into backend services with appropriate guardrails
• Build ingestion pipelines that normalise outputs from a range of security scanning tools into a single unified data model
• Support deployment to both cloud and offline, network-isolated environments, including locally hosted model inference
• Implement logging, audit trails, access controls and secure engineering practices
• Maintain CI/CD pipelines, deployment scripts and infrastructure configuration
• Work with existing code — understand legacy setups, refactor, and propose practical improvements

Core Key Skills

• 4+ years in software engineering, AI engineering, DevOps or platform engineering
• Hands-on full-stack development — Python or Node.js/TypeScript, plus REST API development
• A modern frontend framework (React, Vue or Angular) with dashboard-building experience
• Hands-on experience building on frontier AI models — RAG pipelines, agentic workflows, or model output integrated into production services
• AWS services, containerisation and CI/CD pipelines
• Working knowledge of application security, container security and vulnerability management — enough to model security scanner output correctly
• Strong English communication skills for working across engineering and client teams

Nice to Have

• Running locally hosted or open-weight models (Ollama, vLLM, llama.cpp, quantisation) in offline or restricted environments
• Evaluating and guardrailing non-deterministic systems — eval harnesses, output validation, prompt-injection defence
• Experience designing portable systems for offline deployment and reproducibility
• Exposure to vulnerability assessment tooling such as Nessus or Burp Suite